Final class

Announcements

Community Session

Congratulations!

Hope that you have gained confidence in working with R

In 6 weeks we have learned…

Fundamental concepts in programming languages: How do programs run, and how do we solve problems effectively using functions and data structures?

Data science fundamentals: How do you translate your scientific question to a data wrangling problem and answer it?

Data science workflow

Continuing your education

Intermediate R
Data Science Programming Community Sessions
Reference texts:
- Hands-on Programming with R, by Garrett Grolemund
- R for Data Science, by Hadley Wickham, Garrett Grolemund, and Mine Centikaya-Rundel

Connecting to rest of DaSL…

Survey Time

Our class exit survey makes a huge difference for us.
RSVP to Data-Thon: https://www.addevent.com/event/fM23708762
Winter Quarter Survey of your learning needs

Last but not least…stickers!

Make your own sticker, add it to the wall of DaSL students!

Working on your own projects

Download and install R
Download and install RStudio
Can also install via Software Center (PCs) / Self-Service (Macs)

Install and load relevant packages
- install.packages("tidyverse")
- library(tidyverse)

Use RStudio Projects

Best 1st
https://www.tidyverse.org/blog/2017/12/workflow-vs-script/
Choose a directory where all your projects live:
My home directory has a folder called Code/
Tools >> Global Options >> General >> Default Working Directory

Creating New Projects

Carpentries Lesson on RStudio Projects

File >> New Project >> New Directory >> New Project

Name your project and open it up.

Create a `data/` folder in your project

Put Raw Data Here

Make a Quarto Document

File >> New File >> Quarto Document

Name your document

Load Your Data

Add a code block:

library(tidyverse)
my_data <- read_csv("data/my_data.csv")

Rest of our time today

End of class survey
Make your own sticker
Download R and RStudio
KRAS analysis